1.Types of eae genes in non-O157 Shiga toxin-producing Escherichia coli strains
Xiangning BAI ; Yanmei XU ; Ailan ZHAO ; Juan ZHOU ; Yanwen XIONG
Chinese Journal of Microbiology and Immunology 2015;(6):414-418
Objective To analyze the subtypes of eae genes in various non-O157 Shiga toxin-pro-ducing Escherichia coli ( STEC) strains isolated in China.Methods The complete nucleotide sequences of 10 eae genes were amplified by PCR and sequenced.The BLASTn software was used to analyze the se-quences for eae gene subtyping.A phylogenetic tree was constructed based on the10 ea e gene sequences to-gether with the gene sequences of 30 different subtypes in GenBank and those of STEC strains of 7 prevalent serotypes (O157 ∶H7, O26 ∶H11, O103 ∶H2, O111 ∶H8, O145 ∶H28, O45 ∶H2 and O121 ∶H19) using MEGA 5.0.Multilocus sequence typing (MLST) was performed on the 10 STEC strains with reference to the Escherichia coli ( E.coli) MLST website ( http://mlst.warwick.ac.uk/mlst/dbs/Ecoli) for the typing of multiple loci.A minimum spanning tree ( MST) was constructed using the BioNumerics software to inves-tigate the phylogenetic relationships between the 10 eae gene-positive STEC strains in this study and hemolyt-ic uremic syndrome-associated enterohemorrhagic E.coli ( HUSEC) strains as well as all human STEC strains of O157, O26, O45, O103, O111, O121 and O145 serotypes submitted to the E.coli MLST website data-base.Results The complete nucleotide sequences of eae genes in 10 non-O157 STEC strains were 2.8 kb in length and belonged to 3 known subtypes.The predominant subtype wasβ1, accounting for 60%of the 10 STEC strains (6/10), followed byθandγ1 subtypes with two strains in each type.The eae gene sequences in certain strains were identical to those of the prevalent serotypes.Seven sequence types ( STs) were identi-fied from the 10 STEC strains carrying eae gene.Conclusion The eae genes harbored by the non-O157 STEC strains isolated from different specimens in China were diverse and had close phylogenetic relationships with the highly pathogenic and prevalent STEC strains.This study implied that the STEC strains harboring eae gene had high pathogenic potential.
2.Tissue distribution of PEGylated puerarin in acute myocardial ischemia mode rats.
Chunfang XIA ; Zuguang YE ; Xiangning ZHOU ; Tiantian TANG ; Lingjun WEN ; Xinyi LIU
Acta Pharmaceutica Sinica 2014;49(10):1413-7
The aim of this study is to explore the tissue distribution of PEGylated puerarin in acute myocardial ischemia model rats. Healthy male SD rats were randomly divided into two groups (30 each). Both were given PEGylated puerarin at a dose of 488 mg x kg(-1). After 5 min of medication, one group was normal rats, another group with acute myocardial ischemia was established by peritoneal injection of 50 mg x kg(-1) isoprenaline. After administration, the animals were executed at 30, 60, 90, 120, 150 and 180 min, then heart, liver, spleen, lung, kidney were extracted. The content of puerarin in organ tissue was determined by HPLC. The results showed that the AUC of tissue distribution of PEGylated puerarin in normal rats was liver > kidney > heart ≈ spleen > lung > brain. While the AUC of tissue distribution of PEGylated puerarin in acute myocardial ischemia model rats was liver ≈ heart > kidney > lung ≈ spleen > brain. AUC(heart) of PEGylated puerarin in acute myocardial ischemia model rats was 1.7 times than that of the normal rats, and there was significant difference (P < 0.05). Thus, PEGylated puerarin had a good heart-targeting property in early myocardial infarction area, drugs could accumulate in the ischemic myocardium. It provided important information for further study and clinic use of PEGylated puerarin.
3.Expression and methylation status of IL-13 receptor α1 gene in peripheral T lymphocytes of patients with systemic lupus erythematosus
Xiaoqin YANG ; Qianjin LU ; Xiangning QIU ; Nan HU ; Yongqi LUO ; Jun YUAN ; Wenzhi LEI ; Yuwen SU ; Yaping LI ; Ying ZHOU
Chinese Journal of Dermatology 2008;41(7):439-442
Objective To investigate the mRNA expression and methylation status of IL-13 receptor(IL-13R)α1 gene in peripheral T lymphocytes of patients with systemic lupus erythematosus(SLE).Methods Venous blood samples were obtained from 10 SLE patients(5 in active phase,5 in inactive phase)and 6 normal human controls.CD4+ and CD8+ T cells were isolated from these samples via magnetic activated cell sorting(MACS).Real-time quantitative PCR was used to test the mRNA expression of IL-13Rα1 gene,and methylation specific PCR to detect the methylation status.Results The expression level of IL-13Rα1 mRNA was 2.224±0.251,1.712±0.132.and 1.104±0.044 in CD4+ T cells of active SLE patients,inactive SLE patients and controls,respectively;the difference between the three groups was statistically significant(all P<0.05).The expression level of IL-13Rα1 mRNA in CD8+T cells was significantly higher in active SLE patients than that in the normal controls(1.672±0.142 vs 1.238±0.106,P<0.05),while no difference was noted between inactive and active SLE patients or normal controls.The methylation index of IL-13Rα1 gene was 0.454±0.023.0.635±0.065.0.844±0.097 in CD4+T cells of active SLE patients,inactive SLE patients and normal controls,respectively,and the difference between the three groups was significant(all P<0.05),while no significant difference was observed in the methylation index in CD8+T cells among these groups(P>0.05).The IL-13Rα1 mRNA expression in CD4+T and CD8+T cells was positively correlated with SLE disease activity index(SLEDAI)score(r=0.79,0.76,P=0.007,0.02 respectively).A negative correlation was found between the methylation level Of IL-13Rα1 in CD4+T cells and SLEDAI score(r=-0.89.P<0.0 1).as well as between the IL-13Rα1 mRNA expression and its methylation level(r=-0.84,P<0.0 1).Conclusion The development of SLE may be related to the overexpression of IL-13Rα1 gene induced by DNA hypomethylation in T cells.
4.Volatile constituents of Linglingxiang (Lysimachia foenum-graecum Hance, Holy Basil) analyzed by applying solid phase microextraction-gas chromatography-mass spectrometry
Xueyang TANG ; You QIN ; Lin CHEN ; Rongrong ZHOU ; Xiangning SHAO ; Shuyun SHI ; Chunyu TANG ; Shuihan ZHANG
Journal of Beijing University of Traditional Chinese Medicine 2017;40(9):764-771
Objective To analyze the volatile constituents of Linglingxiang (Lysimachia foenumgraecum,Hance,Holy Basil) by applying solid phase microextraction-gas chromatography-mass spectrometry (SPME-GC/MS).Methods The heads of solid phase microextraction (SPME) with 4 kinds of different coating,75 μm CAR/PDMS,65 μm DVB/PDMS,85 μm PA and 100 μm PDMS,were used to extract the under the best extraction condition,and then these volatile constituents were detected by using gas chromatography-mass spectrometry (GC-MS).Results The key parameters of SPME for extracting volatile constituents from Linglingxiang were as follows:temperature was 85℃C and extracting time was for 50 min.A total of 10 types including 103 kinds of volatile constituents were identified by 4 different SPME extraction heads,and phenols,esters and hydrocarbons were main chemical types of volatile compounds in Linglingxiang.There were totally 6 volatile constituents detected by 4 different SPME extraction heads,and they were Sugarlactone,Dihydroactinidiolide,(+)-cedrol,phytone,phenanthrene,and 3-Amino-4,5-dimethyl-2 (5h)-furanone.Among all extraction heads,the head of 75 μm CAR/PDMS detected the largest number of volatile constituents reached to 43.Conclusion SPME-GC/MS was used for the first time form determining the volatile constituents in Linglingxiang.The method is simple,rapid and accurate,which can offer reference to further studies on the material base of Linglingxiang.
5.Meta-analysis of the relationship between snoring and risk of cardiovascular and cerebrovascular diseases
Yujuan CHEN ; Li LI ; Xiangning ZHOU ; Hanyu ZHU ; Fumin FENG
Clinical Medicine of China 2020;36(4):309-314
Objective:To investigate the relationship between snoring and the risk of cardiovascular and cerebrovascular events.Methods:By searching PubMed, Embase, the Cochrane Library, China National Knowledge Infrastructur, Wanfang Database, VIP Chinese journal database and Chinese biomedicine databases from the establishment to June 10, 2019, relevant domestic and foreign literature, extract data and apply Newcastle-Ottawa Quality Assessment Scale (NOS)method to quality evaluation, and finally integrate the data and analyze with Stata12.0 software.Results:A total of 11 articles and 145 267 participants met the inclusion criteria.Meta-analysis results showed that the correlation strength and 95% CI of snoring with cardiovascular and cerebrovascular events and stroke risk were 1.10 (1.03-1.17) and 1.26 (1.11-1.43)respectively , and all of them had statistical significance.Conclusion:Snoring is an independent risk factor for the risk of cardiovascular events and is more closely linked to stroke.
6.Throat Infection, Neck and Chest Pain and Cardiac Response: A Persistent Infection-Related Clinical Syndrome
ZHOU CHANGQING ; FU XIANGNING ; YAN JIANGTAO ; FAN QIAO ; LI ZHUOYA ; Cianflone KATHERINE ; WANG DAOWEN
Journal of Huazhong University of Science and Technology (Medical Sciences) 2009;29(1):19-24
Dizziness,chest discomfort,chest depression and dyspnea are a group of symptoms that are common complaints in clinical practice. Patients with these symptoms are usually informed that while neurosis consequent to coronary heart disease is excluded nonetheless they remain unhealthy with no rational explanation or treatment. 165 cases of these symptoms and 85 control subjects were reviewed and underwent further medical history inquiry,routine EKG test and cardiac ultrasound examination. Thirty-five patients received coronary artery angiography to exclude coronary heart disease. Serum myocardial autoantibodies against beta1-adrenoceptor,alpha-myosin heavy chain,M2-muscarinie receptor and adenine-nucleotide translocator were tested,and inflammatory cytokines and high sensitivity C-reaction protein were measured and lymphocyte subclass was assayed by flow cytometry. All patients had a complex of four symptoms or tetralogy: (1) persistent throat or upper respiratory tract infection,(2) neck pain,(3) chest pain and (4) chest depression or dyspnea,some of them with anxiety. Anti-myocardial autoantibodies (AMCAs) were present in all patients vs. 8% in and CD4-CD8+ lymphocytes were significantly higher and CD56+ lymphocytes lower in patients than those in controls (P<0.01). The ratio of serum pathogen antibodies positive against Coxsackie virus-B,cytomegalovirus,Mycoplasma pneumoniae and Chlamydia pneumoniae were all markedly higher in patients. These data led to identification of a persistent respiratory infection-related clinical syndrome,including persistent throat infection,neck spinal lesion,fib cartilage inflammation,symptoms of car-diac depression and dyspnea with or without anxiety.
7.Research Progress on Pathogenic Mechanism and Potential Therapeutic Drugs of Idiopathic Pulmonary Fibrosis Complicated with Non-small Cell Lung Cancer.
Ting XIAO ; Jiali BAO ; Xiangning LIU ; Hui HUANG ; Honggang ZHOU
Chinese Journal of Lung Cancer 2022;25(10):756-763
Idiopathic pulmonary fibrosis (IPF) is a chronic progressive fibrous interstitial lung disease of unknown etiology. IPF is also considered to be among the independent risk factors for lung cancer, increasing the risk of lung cancer by 7% and 20%. The incidence of IPF complicated with lung cancer, especially non-small cell lung cancer (NSCLC), is increasing gradually, but there is no consensus on unified management and treatment. IPF and NSCLC have similar pathological features. Both appear in the surrounding area of the lung. In pathients with IPF complicated with NSCLC, NSCLC often develops from the honeycomb region of IPF, but the mechanism of NSCLC induced by IPF remains unclear. In addition, IPF and NSCLC have similar genetic, molecular and cellular processes and common signal transduction pathways. The universal signal pathways targeting IPF and NSCLC will become potential therapeutic drugs for IPF complicated with NSCLC. This article examines the main molecular mechanisms involved in IPF and NSCLC and the research progress of drugs under development targeting these signal pathways.
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Humans
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Carcinoma, Non-Small-Cell Lung/genetics*
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Idiopathic Pulmonary Fibrosis/drug therapy*
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Lung Neoplasms/genetics*
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Lung/pathology*
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Signal Transduction
8.Antimicrobial resistance profile of clinical isolates in hospitals across China: report from the CHINET Surveillance Program, 2017
Fupin HU ; Yan GUO ; Demei ZHU ; Fu WANG ; Xiaofei JIANG ; Yingchun XU ; Xiaojiang ZHANG ; Zhaoxia ZHANG ; Ping JI ; Yi XIE ; Mei KANG ; Chuanqing WANG ; Aimin WANG ; Yuanhong XU ; Jilu SHEN ; Ziyong SUN ; Zhongju CHEN ; Yuxing NI ; Jingyong SUN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yan DU ; Sufang GUO ; Lianhua WEI ; Fengmei ZOU ; Hong ZHANG ; Chun WANG ; Yunjian HU ; Xiaoman AI ; Chao ZHUO ; Danhong SU ; Ruizhong WANG ; Hua FANG ; Bixia YU ; Yong ZHAO ; Ping GONG ; Dawen GUO ; Jinying ZHAO ; Wenen LIU ; Yanming LI ; Yan JIN ; Chunhong SHAO ; Kaizhen WEN ; Yirong ZHANG ; Xuesong XU ; Chao YAN ; Hua YU ; Xiangning HUANG ; Shanmei WANG ; Yafei CHU ; Lixia ZHANG ; Juan MA ; Shuping ZHOU ; Yan ZHOU ; Lei ZHU ; Jinhua MENG ; Fang DONG ; Hongyan ZHENG ; Han SHEN ; Wanqing ZHOU ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU
Chinese Journal of Infection and Chemotherapy 2018;18(3):241-251
Objective To investigate the antimicrobial resistance profile of the clinical isolates collected from selected hospitals across China. Methods Twenty-nine general hospitals and five children's hospitals were involved in this program. Antimicrobial susceptibility testing was carried out according to a unified protocol using Kirby-Bauer method or automated systems. Results were interpreted according to CLSI 2017 breakpoints. Results A total of 190 610 clinical isolates were collected from January to December 2017, of which gram negative organisms accounted for 70.8% (134 951/190 610) and gram positive cocci 29.2% (55 649/190 610). The prevalence of methicillin-resistant strains was 35.3% in S. aureus (MRSA) and 80.3% in coagulase negative Staphylococcus (MRCNS) on average. MR strains showed much higher resistance rates to most of the other antimicrobial agents than MS strains. However, 91.6% of MRSA strains were still susceptible to trimethoprim-sulfamethoxazole, while 86.2% of MRCNS strains were susceptible to rifampin. No staphylococcal strains were found resistant to vancomycin. E. faecalis strains showed much lower resistance rates to most of the drugs tested (except chloramphenicol) than E. faecium. Vancomycin-resistant Enterococcus (VRE) was identified in both E. faecalis and E. faecium. The identified VRE strains were mainly vanA, vanB or vanM type based on phenotype or genotype. The proportion of PSSP or PRSP strains in the non-meningitis S.pneumoniae strains isolated from children decreased but the proportion of PISP strains increased when compared to the data of 2016. Enterobacteriaceae strains were still highly susceptible to carbapenems. Overall, less than 10% of these strains (excluding Klebsiella spp.) were resistant to carbapenems. The prevalence of imipenem-resistant K. pneumoniae increased from 3.0% in 2005 to 20.9% in 2017, and meropenem-resistant K. pneumoniae increased from 2.9% in 2005 to 24.0% in 2017, more than 8-fold increase. About 66.7% and 69.3% of Acinetobacter (A. baumannii accounts for 91.5%) strains were resistant to imipenem and meropenem, respectively. Compared with the data of year 2016, P. aeruginosa strains showed decreasing resistance rate to carbapenems. Conclusions Bacterial resistance is still on the rise. It is necessary to strengthen hospital infection control and stewardship of antimicrobial agents. The communication between laboratorians and clinicians should be further improved in addition to surveillance of bacterial resistance.
9.Changing distribution and resistance profiles of common pathogens isolated from urine in the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Yanming LI ; Mingxiang ZOU ; Wen'en LIU ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; Fengbo ZHANG ; Ping JI ; Yi XIE ; Mei KANG ; Chuanqing WANG ; Pan FU ; Yuanhong XU ; Ying HUANG ; Ziyong SUN ; Zhongju CHEN ; Yuxing NI ; Jingyong SUN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yan DU ; Sufang GUO ; Lianhua WEI ; Fengmei ZOU ; Hong ZHANG ; Chun WANG ; Yunjian HU ; Xiaoman AI ; Chao ZHUO ; Danhong SU ; Dawen GUO ; Jinying ZHAO ; Hua YU ; Xiangning HUANG ; Yan JIN ; Chunhong SHAO ; Xuesong XU ; Chao YAN ; Shanmei WANG ; Yafei CHU ; Lixia ZHANG ; Juan MA ; Shuping ZHOU ; Yan ZHOU ; Lei ZHU ; Jinhua MENG ; Fang DONG ; Zhiyong LÜ ; Fangfang HU ; Han SHEN ; Wanqing ZHOU ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Jihong LI ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanping ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Jilu SHEN ; Ruizhong WANG ; Hua FANG ; Bixia YU ; Yong ZHAO ; Ping GONG ; Kaizhen WENG ; Yirong ZHANG ; Jiangshan LIU ; Longfeng LIAO ; Hongqin GU ; Lin JIANG ; Wen HE ; Shunhong XUE ; Jiao FENG ; Chunlei YUE
Chinese Journal of Infection and Chemotherapy 2024;24(3):287-299
Objective To investigate the distribution and antimicrobial resistance profiles of the common pathogens isolated from urine from 2015 to 2021 in the CHINET Antimicrobial Resistance Surveillance Program.Methods The bacterial strains were isolated from urine and identified routinely in 51 hospitals across China in the CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021.Antimicrobial susceptibility was determined by Kirby-Bauer method,automatic microbiological analysis system and E-test according to the unified protocol.Results A total of 261 893 nonduplicate strains were isolated from urine specimen from 2015 to 2021,of which gram-positive bacteria accounted for 23.8%(62 219/261 893),and gram-negative bacteria 76.2%(199 674/261 893).The most common species were E.coli(46.7%),E.faecium(10.4%),K.pneumoniae(9.8%),E.faecalis(8.7%),P.mirabilis(3.5%),P.aeruginosa(3.4%),SS.agalactiae(2.6%),and E.cloacae(2.1%).The strains were more frequently isolated from inpatients versus outpatients and emergency patients,from females versus males,and from adults versus children.The prevalence of ESBLs-producing strains in E.coli,K.pneumoniae and P.mirabilis was 53.2%,52.8%and 37.0%,respectively.The prevalence of carbapenem-resistant strains in E.coli,K.pneumoniae,P.aeruginosa and A.baumannii was 1.7%,18.5%,16.4%,and 40.3%,respectively.Lower than 10%of the E.faecalis isolates were resistant to ampicillin,nitrofurantoin,linezolid,vancomycin,teicoplanin and fosfomycin.More than 90%of the E.faecium isolates were ressitant to ampicillin,levofloxacin and erythromycin.The percentage of strains resistant to vancomycin,linezolid or teicoplanin was<2%.The E.coli,K.pneumoniae,P.aeruginosa and A.baumannii strains isolated from ICU inpatients showed significantly higher resistance rates than the corresponding strains isolated from outpatients and non-ICU inpatients.Conclusions E.coli,Enterococcus and K.pneumoniae are the most common pathogens in urinary tract infection.The bacterial species and antimicrobial resistance of urinary isolates vary with different populations.More attention should be paid to antimicrobial resistance surveillance and reduce the irrational use of antimicrobial agents.
10.Changing resistance profiles of Enterococcus in hospitals across China:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Na CHEN ; Ping JI ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; Yi XIE ; Mei KANG ; Chuanqing WANG ; Pan FU ; Yuanhong XU ; Ying HUANG ; Ziyong SUN ; Zhongju CHEN ; Yuxing NI ; Jingyong SUN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yan DU ; Sufang GUO ; Lianhua WEI ; Fengmei ZOU ; Hong ZHANG ; Chun WANG ; Yunjian HU ; Xiaoman AI ; Chao ZHUO ; Danhong SU ; Dawen GUO ; Jinying ZHAO ; Hua YU ; Xiangning HUANG ; Wen'en LIU ; Yanming LI ; Yan JIN ; Chunhong SHAO ; Xuesong XU ; Chao YAN ; Shanmei WANG ; Yafei CHU ; Lixia ZHANG ; Juan MA ; Shuping ZHOU ; Yan ZHOU ; Lei ZHU ; Jinhua MENG ; Fang DONG ; Zhiyong LÜ ; Fangfang HU ; Han SHEN ; Wanqing ZHOU ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Jihong LI ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanping ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Jilu SHEN ; Ruizhong WANG ; Hua FANG ; Bixia YU ; Yong ZHAO ; Ping GONG ; Kaizhen WEN ; Yirong ZHANG ; Jiangshan LIU ; Longfeng LIAO ; Hongqin GU ; Lin JIANG ; Wen HE ; Shunhong XUE ; Jiao FENG ; Chunlei YUE
Chinese Journal of Infection and Chemotherapy 2024;24(3):300-308
Objective To understand the distribution and changing resistance profiles of clinical isolates of Enterococcus in hospitals across China from 2015 to 2021.Methods Antimicrobial susceptibility testing was conducted for the clinical isolates of Enterococcus according to the unified protocol of CHINET program by automated systems,Kirby-Bauer method,or E-test strip.The results were interpreted according to the Clinical & Laboratory Standards Institute(CLSI)breakpoints in 2021.WHONET 5.6 software was used for statistical analysis.Results A total of 124 565 strains of Enterococcus were isolated during the 7-year period,mainly including Enterococcus faecalis(50.7%)and Enterococcus faecalis(41.5%).The strains were mainly isolated from urinary tract specimens(46.9%±2.6%),and primarily from the patients in the department of internal medicine,surgery and ICU.E.faecium and E.faecalis strains showed low level resistance rate to vancomycin,teicoplanin and linezolid(≤3.6%).The prevalence of vancomycin-resistant E.faecalis and E.faecium was 0.1%and 1.3%,respectively.The prevalence of linezolid-resistant E.faecalis increased from 0.7%in 2015 to 3.4%in 2021,while the prevalence of linezolid-resistant E.faecium was 0.3%.Conclusions The clinical isolates of Enterococcus were still highly susceptible to vancomycin,teicoplanin,and linezolid,evidenced by a low resistance rate.However,the prevalence of linezolid-resistant E.faecalis was increasing during the 7-year period.It is necessary to strengthen antimicrobial resistance surveillance to effectively identify the emergence of antibiotic-resistant bacteria and curb the spread of resistant pathogens.